Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding
Random noise attenuation plays a vital step in seismic signal processing. Numerous attenuation algorithms have been developed to separate and remove the random noise; nevertheless, they have failed to attain high precision. In this work, a hybrid framework based on an optimal adaptive neuro-fuzzy in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10472038/ |